package com.chen.naisimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.chen.common.to.es.SkuEsModel;
import com.chen.common.utils.R;
import com.chen.naisimall.search.config.NaisimallElasticSearchConfig;
import com.chen.naisimall.search.constant.EsConstant;
import com.chen.naisimall.search.feign.ProductFeignService;
import com.chen.naisimall.search.service.MallSearchService;
import com.chen.naisimall.search.vo.AttrResponseVo;
import com.chen.naisimall.search.vo.BrandVo;
import com.chen.naisimall.search.vo.SearchParam;
import com.chen.naisimall.search.vo.SearchResult;
import org.apache.lucene.search.TotalHits;
import org.apache.lucene.search.join.ScoreMode;
import org.apache.tomcat.util.security.Escape;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.Index;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.AggregatorFactories;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * 检索服务
 *
 * @author woita
 */
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;

    @Autowired
    ProductFeignService productFeignService;

    @Override
    public SearchResult search(SearchParam param) {
        //1,动态构建出查询需要的DSL语句
        SearchResult result = null;
        //2,准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);
        try {
            //2,执行检索请求
            SearchResponse response = client.search(searchRequest, NaisimallElasticSearchConfig.COMMON_OPTIONS);

            //3,分析响应数据,封装成我们需要的格式
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }

        return result;
    }

    /**
     * 构建结果数据
     *
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();
        //1,返回的所有的查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }

                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);
        //2,当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //1,得到属性的ID
            long attrId = bucket.getKeyAsNumber().longValue();
            //2,得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            //3,得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = item.getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }


        result.setAttrs(attrVos);

        //3,当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1,得到品牌的ID
            long brandId = bucket.getKeyAsNumber().longValue();
            //2,得到品牌的名字
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            //3,得到品牌的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandImg(brandImg);
            brandVo.setBrandName(brandName);


            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        //4,当前所有商品涉及到的所有分类信息
        ParsedLongTerms catelog_agg = response.getAggregations().get("catelog_agg");
        List<SearchResult.CatelogVo> catelogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catelog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatelogVo catelogVo = new SearchResult.CatelogVo();
            //得到分类ID
            String keyAsString = bucket.getKeyAsString();
            catelogVo.setCatelogId(Long.parseLong(keyAsString));

            //得到分类名
            ParsedStringTerms catelog_name_agg = bucket.getAggregations().get("catelog_name_agg");
            String catelog_name = catelog_name_agg.getBuckets().get(0).getKeyAsString();
            catelogVo.setCatelogName(catelog_name);
            catelogVos.add(catelogVo);
        }
        result.setCatelogs(catelogVos);
        //========以上从聚合信息中获取
        //5,分页信息-页码
        result.setPageNum(param.getPageNum());
        //6总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //7,分页信息-总页码计算
        int totalPages = total % EsConstant.PRODUCT_PAGE_SIZE == 0 ?
                (int) total / EsConstant.PRODUCT_PAGE_SIZE : (int) (total / EsConstant.PRODUCT_PAGE_SIZE + 1);
        result.setTotalPages(totalPages);
        List<Integer> pageNavs = new ArrayList<>();
        for (int i=1;i<=totalPages;i++){
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        //6,构建面包屑导航功能

        //List<SearchResult.NavVo> navVo = new ArrayList<>();
        if (param.getAttrs() != null && param.getAttrs().size() > 0){
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                //1,分析每个attr传过来的查询参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                //attrs=2_五寸:6寸
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);

                R r = productFeignService.attrInfo(Long.parseLong(s[0]));
                result.getAttrIds().add(Long.parseLong(s[0]));
                if (r.getCode() == 0){
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                }else {
                    navVo.setNavName(s[0]);
                }
                //2,取消了这个面包屑以后,我们要跳转到那个地方,将请求地址的url里面的当前置空
                //拿到所有的查询条件,去掉当前
                String replace = replaceQueryString(param, attr,"attrs");
                navVo.setLink("http://search.naisimall.com/list.html?"+replace);
                return navVo;
            }).collect(Collectors.toList());

            result.setNavs(collect);
        }

        //品牌,分类
        if (param.getBrandId() != null && param.getBrandId().size() > 0){
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            //TODO 远程查询所有品牌
            R r = productFeignService.brandsInfo(param.getBrandId());
            if (r.getCode() == 0){
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getBrandName()+";");
                    replace = replaceQueryString(param,brandVo.getBrandId()+"","brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.naisimall.com/list.html?"+replace);

            }
            navs.add(navVo);
        }
        //TODO 分类:不需要导航取消


        return result;
    }

    private String replaceQueryString(SearchParam param, String value,String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode = encode.replace("+","%20")
                    .replace("%29",")").replace("%28","(");//浏览器对空格编码和java不一样
        } catch (Exception e) {
            e.printStackTrace();
        }
        String replace = param.get_queryString().replace("&"+key+"="+ encode, "");
        return replace;
    }

    /**
     * 准备检索请求
     * #模糊匹配,过滤(按照属性,分类,品牌,价格区间,库存),排序,分页,高亮,聚合分析
     *
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParam param) {

        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();//构建DSL语句的

        /**
         * 模糊匹配,过滤(按照属性,分类,品牌,价格区间,库存),
         */
        //1,构建了bool - query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1,must
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //1.2,bool - filter - 按照三级分类ID查询
        if (param.getCatelog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catelogId", param.getCatelog3Id()));
        }
        //1.2,bool - filter - 按照品牌ID查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        //1.2,bool - filter - 按照价格区间
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                //区间
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }

        //1.2,bool - filter - 按照所有指定的属性进行查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {

            for (String attrStr : param.getAttrs()) {
                //attrs=1_5寸:8寸
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                String[] s = attrStr.split("_");
                String attrId = s[0];//检索的属性ID
                String[] attrValues = s[1].split(":");//这个属性的检索用的值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每一个必须都得生成一个nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }

        }
        //1.2,bool - filter - 按照库存是否有进行查询
        if (param.getHasStock() != null){
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }

        //把以前的所有条件都拿来进行封装
        sourceBuilder.query(boolQuery);
        /**
         * 排序,分页,高亮,
         */
        //2.1,排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        //2.2分页 pageSize = 5
        //from = (pageNum - 1) * size
        sourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGE_SIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGE_SIZE);

        //2.3,高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }


        /**
         * 聚合分析
         */
        //1,品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        //品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        //TODO 1,聚合brand
        sourceBuilder.aggregation(brand_agg);
        //2,分类聚合 catelog_agg
        TermsAggregationBuilder catelog_agg = AggregationBuilders.terms("catelog_agg").field("catelogId").size(20);
        catelog_agg.subAggregation(AggregationBuilders.terms("catelog_name_agg").field("catelogName").size(1));
        //TODO 2,聚合catelog
        sourceBuilder.aggregation(catelog_agg);

        //3,属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //聚合出当前所有的attr_id
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //聚合分析出当前attr_id对应的所有可能的属性值attr_value
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
        //TODO 3,聚合attr
        sourceBuilder.aggregation(attr_agg);

        String s = sourceBuilder.toString();
        System.out.println("构建的DSL语句" + s);

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);

        return searchRequest;
    }
}
